Huron

AI Engineering Manager (AI Capability Center) - 4 Openings Available

United States · Remote (restrictions not stated) · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerHuron
LocationUnited States
Work styleRemote (restrictions not stated)
Employment typeFull time
Employer posted2 Sep 2026

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.

As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.

Join our team and create your future.

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Join our team and create your future.
This person builds the solution and works with the business day to day inside a pod. This seat is focused on building well.

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Key responsibilities

Build the features. Full-stack on AWS and Azure using Claude and other models.

Work with users. Sit with the business day to day and build with them.

Keep quality up. Tests and evaluations on everything that ships.

Work to the design. Build within the agreed solution design, and flag what the design misses.

Raise the bar. Set the engineering standard in the pod and support less experienced engineers.

Preferred qualifications

Exposure to Agentic DevOps tooling (agentic coding tools, eval-driven pipelines).

Vector databases and LLM observability in production.

Infrastructure as code (Terraform or Bicep).

Healthcare or higher education exposure, including HIPAA or FERPA environments.

AWS Machine Learning Engineer - Associate, or Azure AI Engineer Associate (AI-102 or its successor).

General required skills

5 to 8 years building software or AI, including 1 to 2 years leading.

Python and TypeScript, back end and modern front end (React or similar).

RAG and agent experience in production.

Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps, or similar).

REST APIs and enterprise data integration.

AWS or Azure, deploying and operating cloud-native workloads.

A strong builder who is comfortable working with the business.

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $168,000 - $204,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

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Position Level

Manager

Country

United States of America

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